Oct 31, 2026 · 1h 42m
Listen from 56:44
Listen at 56:44
Weekly charts turn market cycles into a risk-control system
The Stage Analysis Trading System with $50M Portfolio Manager Ted Zhang
Ted Zhang and Richard Moglen show how stage analysis can help traders identify leadership, avoid prolonged declines, and simplify decisions across markets.
- 1Weekly moving-average structure separates accumulation, advances, distribution, and declines across multiple asset classes.
- 2Breakouts need catalysts and market support, while high-volume reversals can signal that a trend is ending.
- 3Longer holding periods, focused watchlists, and AI-assisted research can reduce noise without replacing disciplined judgment.
Don't miss
Ted applies the framework to Bitcoin’s decline, base, and breakout, then explains how he manages a longer-term crypto position.
The brief
Ted Zhang and Richard Moglen build around Stan Weinstein’s four-stage cycle, arguing that weekly charts reveal institutional trends more clearly than short-term noise.
The practical edge is defensive as much as offensive: declining 30- and 40-week averages, failed breakouts, and high-volume reversals can expose stage-four risk before losses deepen.
Examples from Tesla, semiconductors, consumer stocks, Bitcoin, bonds, gold, silver, and Sandisk show how catalysts, relative strength, volume, and market leadership shape stage transitions.
Ted’s use of DeepView AI and journal analysis extends the framework into research and review, while the hosts stress that tools cannot replace position sizing or process.
The episode’s central discipline is simplification: wait for a focused watchlist, avoid FOMO, adapt to market regimes, and hold longer when weekly trends remain intact.
What was said on this episode
32 statements · 10 positive · 19 negative · 1 mixed · 2 neutral
Long positions in stage-four stocks can suffer severe losses.
“never hold long a stock in a stage four that's that's when destruction can happen”
Listen at 10:45
Trade Desk has fallen 92% from its high.
“It's down 92%.”
Listen at 11:14
Avoiding stocks below declining 30- and 40-week averages reduces trading losses.
“So just that one simple rule and you avoid a lot of pain.”
Listen at 11:37
Many former leaders entering later stages may signal an overall market top.
“if you start seeing a lot of these form in previous leaders that could be a sign that the overall market might be starting to top too”
Listen at 13:45
A 10-week average crossing below the 20-week average can identify trend deterioration.
“you can even use a basic 10 crosses below the 20-week moving average rule”
Listen at 14:17
Higher rates can slow growth, compress valuation multiples, and trigger stage-four declines.
“the multiples start compressing, and they enter the stage four downtrend”
Listen at 18:09
Ted screens out stocks that are neither in stage two nor stage four.
“If it's not in stage two or stage four, I'm not even interested.”
Listen at 20:33
Long positions should generally be limited to stage-two stocks; stage-four stocks may suit short strategies.
“you really just only want to be long in stage two and then stage four, you can short if that's part of your strategy”
Listen at 20:38
Trailing the 40-week average captured a 1,600% stock advance.
“you still caught a 1600% move”
Listen at 23:35
“if you have a view on the theme going over the next one to two years”
Listen at 26:58
A high-volume weekly break through multiple moving averages often signals trend termination.
“Oftentimes, that's a sign that the trend might be ending”
Listen at 27:49
NVIDIA is currently among the world’s most consequential companies.
“this is probably the most consequential name in the world right now”
Listen at 30:55
NVIDIA still has potential for a 67% decline.
“You can see it still has the potential to drop 67%.”
Listen at 31:02
A major NVIDIA breakdown could limit further index and market gains because of its size.
“if this name completely goes, it's hard to see the indexes or markets go so much further up because this is like a near $6 trillion name”
Listen at 33:58
Broad markets struggle without semiconductor participation because semiconductors heavily weight indexes.
“without them participating, it's really hard for the markets to do well because of their huge weighting in the indexes”
Listen at 35:17
Most stocks do not recover; NIO remains below its high and is down 95%.
“most the majority of stocks don't come back neo hasn't even made new high yet and it's down 95”
Listen at 37:17
Companies without sound fundamentals often never recover.
“if a company doesn't have sound fundamentals a lot of them won't ever go away”
Listen at 37:28
Tesla’s next uptrend likely requires surprise humanoid-robot or autonomous-vehicle news.
“it's likely going to come from some surprise news on humanoid robots, whether it's production or adoption and or the autonomous vehicles”
Listen at 38:38
Strong news without price appreciation often indicates a market top.
“when you made a big move, there's great news, great numbers, but the price isn't moving higher. And oftentimes that's a huge indicator of a top.”
Listen at 44:55
ELF fell 29% during one week after a negative surprise.
“This was down 29% on the week.”
Listen at 46:48
Ted is trailing Bitcoin with the 30- and 40-week moving averages.
“my stop's already far above. the cost i'm trailing the 30 40 week now”
Listen at 56:44
Sandisk’s price character has materially changed after its large advance.
“you can definitely say the character of it has changed”
Listen at 1:11:38
Weakening leadership groups usually signal unfavorable market conditions.
“when you have the best leading groups starting to weaken, it's really usually never a good sign”
Listen at 1:12:54
Biotech stocks can lose substantial value in a single day.
“you can be down here in one day”
Listen at 1:17:33
Ted limits biotech position sizes to roughly 2.5%–3%.
“just can't ever really go more than 2.5%, 3% BIOS”
Listen at 1:17:41
Stage-two uptrends are strongest when the market and underlying theme are also advancing.
“The state shoe uptrends are always going to be strongest when the market is in a state shoe uptrend, the theme is working, all of that.”
Listen at 1:22:38
Shared AI models could amplify market groupthink and volatility.
“if there's a scenario where everyone's relying on AI to make their decisions, if these models are trained on similar data, everyone might just be cutting groupthink, which will lead to even more volatility”
Listen at 1:25:36
Longer holding periods may reduce losses from algorithm-driven market washouts.
“if you hold longer, you might get cut less in these washouts”
Listen at 1:26:37
A massive-volume breakdown below key weekly averages ends the trend and warrants waiting for a base.
“When you have that, the trend, at least for now, is... over. You got to look for a base.”
Listen at 1:28:01
AI tools are highly capable of aggregating and parsing large volumes of research data.
“they're huge. They're just so good at data aggregation and parsing, massive amounts of data”
Listen at 1:28:30
Ted does not yet trust AI to develop and operate his trading algorithm.
“I personally won't, I still entrust it like developing my own algorithm AI and having trade for me. I just, I don't think it's good enough yet.”
Listen at 1:32:14
Ted built his website using a single ChatGPT prompt.
“I literally did it with one prompt.”
Listen at 1:34:55
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.
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